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Root access · Dedicated CPU

Cloud Queue & Worker Hosting in India

Run Redis queues, Celery workers, Laravel queues, or Sidekiq jobs on a Linux VPS with full root access and dedicated CPU cores — no shared-hosting process limits, no shared-tenant resource contention.

Get a Linux VPS

Built for background processing

Everything a queue-driven application needs at the infrastructure layer.

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Full root access

Install Redis, RabbitMQ, or any broker directly, configure systemd services for your workers, and run supervisor processes without restrictions.

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Dedicated CPU cores

KVM virtualization on AMD Ryzen 5 5500 or Intel Xeon E5-2673 v4 hardware gives worker processes consistent CPU time instead of competing with other tenants.

NVMe-backed I/O

Queue-heavy workloads that write job state or logs to disk benefit from consistently fast NVMe SSD read/write speeds.

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No process count caps

Unlike shared hosting, VPS plans don't cap the number of background processes or cron-spawned workers you can run.

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DDoS protection included

If your workers expose a webhook receiver or API endpoint, network-level DDoS protection is included at no extra cost.

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24/7 support

Get help with server-level configuration questions around memory limits, swap, or systemd service setup for your worker fleet.

Why shared hosting can't run your job queues

Background job systems — Celery workers pulling from Redis, Laravel's queue:work processes, Sidekiq threads, or a custom Node.js worker polling RabbitMQ — all need long-running processes with predictable CPU and memory. Shared hosting environments are built around short-lived web requests and typically restrict or kill long-running processes, cap CPU time per account, and don't allow you to install system-level services like Redis or RabbitMQ.

A Linux VPS from ₹399/mo removes those restrictions entirely. With root access and KVM virtualization, you get a real Linux environment where you can install your broker of choice, configure systemd units to keep worker processes alive and auto-restarting, and tune memory limits to match your job sizes. Because CPU cores are dedicated rather than shared, worker throughput stays consistent even during traffic spikes on other customers' sites elsewhere on the network — something that's simply not possible on shared infrastructure.

Many teams run a small VPS purely as a queue/worker node alongside their main web app hosted separately — for example, a cloud hosting plan for the front-end and a dedicated VPS for background processing like image resizing, PDF generation, email sending, or webhook delivery retries. This separation means a slow job never blocks web requests.

For teams running e-commerce platforms with order processing queues or SaaS products with async notification systems, this architecture pattern is standard practice, and our automated backups ensure your queue state and Redis persistence files are protected in case of server issues.

Give your workers a dedicated home

Root access · KVM virtualization · NVMe SSD · From ₹399/mo

FAQ

Queue and worker hosting questions

Yes. Every Linux VPS ships with full root access, so you can install Redis, RabbitMQ, Kafka, or any other broker directly via apt or from source, and configure them however your application requires.
No. VPS plans don't impose the long-running-process restrictions common on shared hosting. You can run systemd-managed worker services indefinitely, limited only by the CPU and RAM your plan includes.
It depends on job volume and concurrency. Our entry Linux VPS at ₹399/mo comfortably handles a handful of worker processes for small to medium job volumes; higher-tier VPS plans with more cores and RAM suit teams running many concurrent workers or CPU-heavy jobs like video transcoding.
Yes, many small to medium projects run both on one VPS. For higher-traffic applications, we recommend separating them onto two VPS instances so a burst in job volume never competes with web request handling for CPU.
You can enable our automated backup add-on to snapshot your VPS, including Redis RDB/AOF files and any queue-related databases, protecting job state in case of unexpected server issues.

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